About the role

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

Plaid is evolving into an AI-first company, where data and machine learning are the key enablers of smarter, more secure insight products built on top of Plaid’s vast financial data network. The Machine Learning Infrastructure team sits at the center of this transformation. We build the platforms that enable model developers to experiment, train, deploy, and monitor machine learning systems reliably and at scale — from feature stores and pipelines, to deployment frameworks and inference tooling. We are in the midst of a pivotal shift: replacing legacy systems with a modern feature store, and establishing a standardized ML Ops “golden path.” Our mission is to enable Plaid’s product teams to move faster with trustworthy insights, deploy models with confidence, and unlock the next generation of AI-powered financial experiences.

As the Engineering Manager for Machine Learning Infrastructure, you will be responsible for guiding a senior engineering team through the design, delivery, and operation of Plaid’s ML infrastructure. We are looking for a leader who combines deep technical expertise in ML infrastructure with proven experience scaling and managing senior engineering teams. You’ll ensure clarity of execution, help your team deliver high-quality systems, and partner closely with ML product teams to meet their needs. This role is execution-driven: you will translate strategy into action, remove blockers, and build a culture of ownership and technical excellence.

Skills & Tags

go rust machine learning ai data product design

Aplyr's read

Plaid is a key player in fintech, enabling secure financial data access for app developers. It attracts talent passionate about innovation and technology.
Synthesized from recent postings & public sources

What's promising

•Plaid's platform is integral to many fintech applications, offering significant impact on the financial ecosystem.
•The company is expanding its team across diverse roles, indicating growth and stability.
•Plaid's focus on secure data access supports the development of cutting-edge financial products.

What to watch

•The fintech industry is highly competitive, posing challenges for sustained differentiation.
•Regulatory changes in data privacy could impact Plaid's operations and services.
•Limited public information about Plaid's long-term financial health and profitability.

Why Plaid

•Plaid specializes in connecting apps to bank accounts, a niche yet crucial fintech service.
•It empowers developers with tools to innovate in financial services, setting it apart from traditional banks.
•Plaid's commitment to secure data access is a cornerstone of its business model.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Plaid

Plaid

plaid.com

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Plaid is a financial technology company that provides a platform for connecting applications to users' bank accounts. By enabling secure access to financial data, Plaid empowers developers to create innovative financial products and services, significantly impacting the fintech landscape.